Bilde av Introduction To Statistical Machine Learning Av Masashi (professor The University Of Tokyo Japan) Sugiyama
 

Introduction To Statistical Machine Learning Av Masashi (professor The University Of Tokyo Japan) Sugiyama

<p>Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. </p><i><p>Introduction to Statistical Machine Learning </i>provides a<i></i>general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at adva

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